Title
Correlated effects in generalizability studies
Abstract
The analytical model typically used to perform
generalizability analysis assumes that design effects
are uncorrelated. Often, the assessment of behavioral
data involves designs that employ multiple occasions
or repeated trials (as in many observational
and rating studies). In these cases, design effects
may be serially correlated. The implications of
serially correlated effects on the results of generalizability
analyses are discussed. Simulated data
are provided that demonstrate the biases that
serially correlated effects introduce into the
results. Index terms: correlated effects, estimation
of variance components, generalizability theory,
observational studies, repeated trials, serial
correlation.
Identifiers
other: doi:10.1177/014662169201600302
Previously Published Citation
Smith, Philip L & Luecht, Richard M. (1992). Correlated effects in generalizability studies. Applied Psychological Measurement, 16, 229-235. doi:10.1177/014662169201600302
Suggested Citation
Smith, Philip L.; Luecht, Richard M..
(1992).
Correlated effects in generalizability studies.
Retrieved from the University of Minnesota Digital Conservancy,
https://hdl.handle.net/11299/115651.